A session based personalized search using an ontological user profile

Daoud, Mariam; Tamine-Lechani, Lynda; Boughanem, Mohand; Chebaro, Bilal

doi:10.1145/1529282.1529670

Cited by 57 publications

(54 citation statements)

References 5 publications

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“…Our main focus of this paper is to analyse the usefulness of the user's recent browsing history for query suggestions which will allow us to create a personal profile for each user and use that profile when ranking query suggestions. Personalized search, in general attracted attention of a lot of researchers, [18,19,20,21,22]. Each and every study showed that user's personal query history is very important in search systems.…”

Section: Related Workmentioning

confidence: 99%

Analyzing the Usefulness of the User’s Browser History for Generating Query Suggestions

Badarinza

2017

Studia UBB Informatica

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Abstract. A very useful feature of search engines that helps users while they browse the internet, where, they very often, try to satisfy an information need, is query suggestion. This mechanism shows the user a list of possible queries from where he can choose and be able to perform a search easier and faster. In this paper we tried to assess the usefulness of a user's recent web browsing history for generating new query suggestions. We performed a one month experiment in which we collected browsing history logs of several users and searched query terms submitted by those users to Google (using a Chrome plugin) and found that approximately 32% of the queries submitted can be predicted from the user's browsing history.

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Section: Related Workmentioning

confidence: 99%

Analyzing the Usefulness of the User’s Browser History for Generating Query Suggestions

Badarinza

2017

Studia UBB Informatica

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“…There are attempts to employ semantics description languages for representation of interested fellows' profiles. In [26], there is described a personalized search approach involving a semantic graph-based interested fellow's profile issued from ontology. Interested fellow's profile refers to her interest in a specific search session.…”

Section: Postprocessingmentioning

confidence: 99%

Cognitive traveling in digital space: from keyword search through exploratory information seeking

Návrat

2012

Open Computer Science

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This paper surveys principal concepts involved in various approaches to web search. There are many attempts to improve key word search. There is the concept of exploratory search, which represents a shift towards more complex view of the interested fellow's role, widening her options. We propose a more radical shift towards viewing information seeking as cognitive traveling in the digital information space involving both web and digital libraries.

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“…The directory structure of the Open Directory Project (ODP 7 ) is used as basis. Also in (Daoud et al, 2009) ODP is used for building a graph based user profile to improve search results during a search session. In (Gauch et al, 2003) a user profile is a weighted concept hierarchy based on a reference ontology.…”

Section: Related Workmentioning

confidence: 99%

Interest based selection of user generated content for rich communication services

Strobbe

Laere

Dauwe

et al. 2010

Journal of Network and Computer Applications

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The last few years, we have witnessed an exponential growth in available content, much of which is user generated (e.g. pictures, videos, blogs, reviews, etc.). The downside of this overwhelming amount of content is that it becomes increasingly difficult for users to identify the content they really need, resulting into considerable research efforts concerning personalised search and content retrieval.On the other hand, this enormous amount of content raises new possibilities: existing services can be enriched using this content, provided that the content items used match the user's personal interests. Ideally, these interests should be obtained in an automatic, transparent way for an optimal user experience.In this paper two models representing user profiles are presented, both based on keywords and with the goal to enrich real-time communication services. The first model consists of a light-weight keyword tree which is very fast, while the second approach is based on a keyword ontology containing extra temporal relationships to capture more details of the user's behavior, however exhibiting lower performance. The profile models are supplemented with a set of algorithms, allowing to learn user interests and retrieving content from personal content repositories.In order to evaluate the performance, an enhanced instant messaging communication service was designed. Through simulations the two models are assessed in terms of real-time behavior and extensibility. User evaluations Preprint submitted to Journal of Network and Computer Applications October 26, 2009 allow to estimate the added value of the approach taken. The experiments conducted indicate that the algorithms succeed in retrieving content matching the user's interests and both models exhibit a linear scaling behavior. The algorithms perform clearly better in finding content matching several user interests when benefiting from the extra temporal information in the ontology based model.

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A session based personalized search using an ontological user profile

Cited by 57 publications

References 5 publications

Analyzing the Usefulness of the User’s Browser History for Generating Query Suggestions

Analyzing the Usefulness of the User’s Browser History for Generating Query Suggestions

Cognitive traveling in digital space: from keyword search through exploratory information seeking

Interest based selection of user generated content for rich communication services

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